Job Description As a member of the US Data Strategy team, you’ll work in a fast-paced environment where you will own delivery for Data ETL, analytics and consumption capabilities in alignment with a multi-year Product Roadmap. You will work across functions – Product, Architecture, Data, Stakeholders - to understand business/design/Product objectives, then build solutions, whether internal or external. You will stay ahead of changing technologies and demonstrate experience with clean interfaces and data strategy. You will lead a team of 8-10 technology professionals including developers, testers, and analysts to solve complex data modeling, transformation, and consumption solutions. You will oversee the development, testing and implementation of Data Solutions including ETL, Analytics, Data Quality and Lineage in a secure cloud environment. Additionally, you hold teams accountable for quality of code, and achieving committed work within a sprint, release, or roadmap, lead code reviews to ensure best practice coding processes. Mentoring developers on improvements. You also define and manage resource requirements and allocations, monitor and improve quality, and ensure 'best practice' development techniques. You create better ways of solving technical problems and not be afraid of challenging the status quo and work to plan releases and release schedules. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements • Overall 7+ years of Data Engineering experience, with 5+ years of experience as a technical data engineering people leader and mentor • Expertise development, testing and implementation of Data Solutions including ETL, Analytics, Data Quality and Lineage in a secure cloud environment • Strong data infrastructure and architecture skills with a solid proficiency in PySpark, Scala, Databricks, ETL, Azure SQL and REST APIs • Hands-on experience with integration and BI tools such as Tableau, Cognos or Power BI • Expertise in data ingestions, data pipeline development, and optimization, reporting, and advanced analytics using Azure and Databricks (Pyspark/Scala) services • Strong knowledge of data engineering best practices/approaches, tools, techniques, and roles/responsibilities in providing technical or business guidance to business and technical partners • Significant automation experience for minimizing manual processes • Solid understanding of Azure cloud technologies, service offerings, and tools • Experience communicating directly with c-suite and key technical partners for development tollgates and governance forums • Ability to document and tell a ‘story’ for a technical recommendations from framework to feature level, • Knowledge of outstanding DevOps practices for environment management and integrity, security, pipeline management, code integrity, compliance, release management and a solid execution of practices for Jira/Azure DevOps Taxonomies, Story Writing, Story Pointing, Velocity measurement Microsoft Azure Big Data Architecture certification